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Update README.md

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@@ -5,17 +5,19 @@ tags:
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  - generated_from_trainer
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  base_model: microsoft/Phi-3-mini-4k-instruct
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  model-index:
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- - name: phi3-mrqa
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  results: []
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/1bcp4hhg)
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- # phi3-mrqa
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- This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.7651
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  - generated_from_trainer
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  base_model: microsoft/Phi-3-mini-4k-instruct
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  model-index:
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+ - name: phi-3-mrqa
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  results: []
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+ datasets:
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+ - enriquesaou/mrqa-squadded-sample
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/favcowboy/huggingface/runs/1bcp4hhg)
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+ # phi-3-mrqa
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+ This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on a MRQA sample.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.7651
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